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Pedab Solutions

Pedab AI Image Solution

Ready-to-use AI for subject matters experts

Pedab AI Image Solution

Pedab AI Image Solution is an offering tailored and developed towards solving specific business problems and improve efficiency related to manufacturing and production Industries. It is an easy-to deploy and easy-to maintain service that can be accessed for production environments within days. With pricing based on usage. In a nutshell – Pedab offers a solution that contains one or many AI services, that is consumed in a flexible usage model. With no need for big project commitments.

 

What is the value?

Pedab AI Image Solution can be applied to any use cases where there is, or could be, access to images (or video frames). Images that humans can interpret and label. Most humans typically and statistically can process and identify faults in images to 95% and above – If they are domain experts and if the volume of images is low. Our AI solution can do it 24/7 – Faster, with Accuracy and at Scale!

 

How to apply?

A typical starting point for Pedab AI Image Solution would be defining a use case, selecting a set of representative images to individually classify or label. Pedab’s AI team then develop the algorithm based on the provided and labelled data set. 

Validating and testing as the next step is done by using an intuitive framework in the solution, a different set of images is used to verify the accuracy of the algorithm. Validation is always done by our customers! When algorithm is deemed satisfactory, the services can be deployed –   on prem or off prem. Choice of deployment options and corresponding infrastructure usually depends on response time requirements. Once the service is in production the algorithm can continuously learn from new production data by validation. This enables the solution to be infinitely improved.

This offering then covers the full process of AI – Label, Train, Deploy and continuous Learning. All without the need to invest in data science skills. The solution is built for subject matter experts, not data scientists.

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